Orbiter analyzes data in real-time to detect abnormal drops in business and product metrics. When a problem is detected, we alert teams in Slack so they never miss an issue that is impacting revenue or users.
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We've been using Orbiter and the best part is getting the daily reminder that everything is running fine and we're on a daily streak w/o issues 👌🏻 Setting up was super easy, too
Hello 👋 Product Hunt! We are Victor, Mark, and Winston, founders of Orbiter.
Before Orbiter, we were product managers and data scientists at Tesla, DoorDash, and Facebook. It often felt impossible trying to keep up with the different dashboards and metrics while also actually doing work and building things. Even with tools like Amplitude, Tableau, and Google Data Studio, we would still catch real issues late by days or weeks. We saw that our engineering counterparts had plenty of tools for passive monitoring and alerting -- PagerDuty, Sentry, DataDog, etc. -- but the business and product side was lacking in solutions. We built Orbiter to solve this.
Orbiter builds machine learning models for your metrics that capture the normal/abnormal patterns in the data. We use a supervised learning approach for our alerting algorithm to identify real abnormalities. Orbiter accomplishes this by forecasting the expected “normal” metric value and also classifying whether an abnormality should be labeled as an alert.
Orbiter is easy for non-technical teams to set-up and use. It’s a Web app, requires no eng development, and connects to existing analytics databases the same way that existing dashboard tools like Looker or a SQL editor just plug in. Teams connect their Slack to Orbiter so they get immediate notifications when a metric changes abnormally.
Here’s an Orbiter use case example: for an e-commerce app, a number of endpoints were migrated in Q4 last year which unknowingly caused a feature in the Android shopping flow to disappear. Typically, users in that part of the shopping flow progress to the next page at a 70% rate but because of the missing feature, this rate dropped by 5% absolute. This was a serious issue but was hard to catch by looking at dashboards because: 1) this was just one number changing out of hundreds of metrics that change every hour, 2) this number naturally fluctuates daily and weekly, especially as the business grows, 3) it would have taken hours of historical data analysis to ascertain that a 5% drop was highly abnormal for that day. It wasn’t until this metric stayed depressed for many days that someone found it suspicious enough to investigate. All in, including the time to implement and deploy the fix, conversion was depressed for seven days costing more than $50K in reduced sales.
We’d love to hear your feedback! Please let us know below or feel free to send us a note at hello@getorbiter.com. Thank you!
@bbbunit hey! We support the following databases so far: Postgres, Mysql, MSSql, MariaDB, and Redshift. We're currently working on Bigquery, and Snowflake! What dbs do you use?
@bbbunit@victor_zhang1@sumanyu_sharma awesome to hear! BQ support is currently in testing, so sign up for access through our site and I’d love to get your feedback!
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The UI looks really clean - how did you guys come up with it??
@boueffstew glad you like it! We're definitely following the modern minimal look to emphasize the data, alerts, and insights you get from Orbiter! Our reaction to current data tools was that there's a lot of cool functionality that is too easy to lose your focus so we wanted to really lay bare just the essentials for now. At least, that will continue for as long as we can until all our new features creep in! :P
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Have you guys heard of DataDog? Curious what the difference here is between them and you guys?
@mattwong Great question - engineers on our former teams would use DataDog to add alerting for engineering related metrics like latency, cpu usage, etc. Orbiter brings the same operational excellence delivered by products like DataDog, NewRelic, etc. to product and business people. Because the metrics product and business teams review are built on analytics data, Orbiter plugs into those analytics databases to provide monitoring, alerting, and diagnostic capabilities
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Looks pretty great to me, do you guys have set any pricing plan for it?
@howie_young thank you! What dashboard or analytics tools are you using today? Happy to chat more about our pricing plan if you send me a note (it's winston[at]getorbiter.com!). Our pricing plan is a monthly subscription per seat (similar model as Looker) and we also have an enterprise plan for larger customers.
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